In this video from SC17, Peter Lyu from Rescale demonstrates how the company brings HPC Workloads to the Cloud. “Rescale helps customers shift from complex on-premise workflows to an easy-to-use web-based engineering SaaS workflow; Workflow variety: Rescale supports all types of workflows including multidisciplinary exploration, optimizations, design of experiments, and more.”
Industry Perspectives
Predictions for HPC in 2020
In this special guest feature from Scientific Computing World, Laurence Horrocks-Barlow from OCF predicts that containerization, cloud, and GPU-based workloads are all going to dominate the HPC environment in 2020. “Over the last year, we’ve seen a strong shift towards the use of cloud in HPC, particularly in the case of storage. Many research institutions are working towards a ‘cloud first’ policy, looking for cost savings in using the cloud rather than expanding their data centres with overheads, such as cooling, data and cluster management and certification requirements.” [READ MORE…]
White Papers
The ROI of GPU-Accelerated Computing
Previously, many organizations trying to analyze big data relied on costly, central processing unit (CPU) intensive infrastructure. With graphics processing unit (GPU)-accelerated computing, though, the information technology (IT) industry has a new, more effective, more efficient alternative. Download the new white paper from Penguin Computing that explores how adoption of GPU-accelerated computing can offer a significant return on investment (ROI) today and pave the way to gain additional advantage from future technical developments.
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